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The potency of an automated detection system for real-time pest monitoring from smartphones and spatial analysis for leaf-eating caterpillar attack evaluation
Hendarjanti H.a, Indratno S.W.b, Ismunandar U.T.a, Sugeng M.H.W.a
a PT Astra Agro Lestari, Kawasan Industri Pulo Gadung Jakarta Timur, Indonesia
b Bandung Institute of Technology, Statistics Research Group, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 Institute of Physics Publishing. All rights reserved.An early warning system in the oil palm cultivation is needed to know the early existence of pest quickly, precisely and accurately. The automated report is needed because manually or conventional methods of the pest existence in the field are not optimal and accurate. A web-based automatization is programmed for giving early information about pest and the potential natural enemies through daily report using the web which is integrated into the database. Moderate and severe pest attack will inform by short message services. So that, it is easier for management to know pest, natural enemies, and conservation beneficial plants. The data can also be used as a reference for controlling, evaluating, and making a decision as well as knowing real-time conditions exactly, quickly, and accurately. This technique is very important especially for controlling leaf-eating caterpillar and conserving its natural enemy’s population in the field.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Automated detection,Conventional methods,Early Warning System,Natural enemies,Real time,Short message services,Spatial analysis,Web based[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/183/1/012021[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]